Principal Engineer, Data Center Sustainability
GoogleSunnyvale, California
Full-time
Salary
$307k–$427k/ annually
Free account to apply · application completed on Google
Salary
$307k–$427k/ annually
Free account to apply · application completed on Google
MINIMUM QUALIFICATIONS:
* PhD in Computer Science, Computer Engineering, Electrical Engineering,
related technical field, or equivalent practical experience.
* 15 years of professional or academic experience in systems engineering or
computer architecture.
* Experience leading large-scale, cross-functional engineering initiatives and
driving technical strategy.
* Technical experience in one or more of the following: power management (DVFS,
C-states), hardware-software co-design, distributed systems scheduling, or
data center power infrastructure.
PREFERRED QUALIFICATIONS:
* Experience with large-scale distributed systems and software-defined
infrastructure.
* Experience with telemetry and observability systems for large-scale fleets,
including data analysis and extracting actionable insights from large
datasets.
* Strong understanding of grid dynamics, renewable energy integration, and
carbon accounting standards (Scope 1, 2, and 3 emissions).
* Proven ability to motivate others by creating a shared vision, communicating
complex technical concepts clearly, and driving collaboration across
organizational boundaries.
* Strong track record of academic research, publications, and patents in the
field of green computing, energy-efficient architecture, or distributed
systems.
ABOUT THE JOB:
Google is committed to achieving net-zero emissions across our operations, even
in the face of dramatic fleet growth driven by Machine Learning (ML) and Cloud
computing. We are looking for a Principal Engineer, Data Center Sustainability
to define the strategic and technical direction for Google's computing
infrastructure sustainability.
In this role, you will lead the systems strategy and engineering efforts to
design, build, and operate an emissions-first computing fleet. You will bridge
the gap between computer architecture, large-scale distributed systems, power
management, and grid carbon dynamics. By optimizing across CPUs, storage,
networking, GPUs, TPUs, and accelerators, you will ensure Google's
infrastructure scales responsibly, unlocking power capacity while maximizing
carbon efficiency.
The AI and Infrastructure team is redefining what’s possible. We empower Google
customers with breakthrough capabilities and insights by delivering AI and
Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our
customers include Googlers, Google Cloud customers, and billions of Google users
worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering
the development of our cutting-edge AI models, delivering unparalleled computing
power to global services, and providing the essential platforms that enable
developers to build the future. From software to hardware our teams are shaping
the future of world-leading hyperscale computing, with key teams working on the
development of our TPUs, Vertex AI for Google Cloud, Google Global Networking,
Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Provide technical guidance and shape the strategic direction for Google's
fleet sustainability initiative. Align hardware deployment and software
scheduling systems with Google’s carbon and energy reduction goals.
* Integrate performance-per-carbon metrics directly into CPU, TPU, GPU, and
storage platform roadmaps. Define the architectural features and policies for
next-generation platforms to minimize both operational and embodied carbon.
* Drive power optimization programs to reclaim idle power capacity.
* Design and implement the telemetry machinery required to measure, attribute,
and report carbon emissions.
* Partner with chip design, platform engineering, software infrastructure, data
center operations, and climate science teams to resolve system-level
constraints and execute cross-functional programs.
